Efficient and Robust LiDAR-Based End-to-End Navigation

Efficient and Robust LiDAR-Based End-to-End Navigation

20 May 2021

Zhijian Liu

Alexander Amini

Song Han

Daniela Rus

Papers citing "Efficient and Robust LiDAR-Based End-to-End Navigation"

8 / 8 papers shown

Title
iKap: Kinematics-aware Planning with Imperative Learning Qihang Li Zhuoqun Chen Haoze Zheng Haonan He Shaoshu Su Junyi Geng Chen Wang Chen Wang 93 2 0 12 Dec 2024
Joint Localization and Planning using Diffusion Lukas Lao Beyer S. Karaman 21 0 0 26 Sep 2024
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning Ruihua Han Shuai Wang Shuaijun Wang Zeqing Zhang Jianjun Chen ... Chengyang Li Chengzhong Xu Yonina C. Eldar Qi Hao Jia Pan 3DPC 32 2 0 11 Mar 2024
V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration Zhi-Guo Deng Yanjun Shi Weiming Shen 6 0 0 26 Sep 2023
Autonomous Driving at Intersections: A Critical-Turning-Point Approach for Left Turns Keqi Shu Huilong Yu Xingxin Chen Long Chen Qi Wang Li Li Dongpu Cao 98 31 0 05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015